My last question about filter df by value list had a nice solution: How to filter df by value list with Polars?
But now I have inverse task.
I have a list with some int values: black_list = [45, 87, 555]
And I have df with some values in column cid1.
df = pl.DataFrame(
{
"cid1": [45, 99, 177],
"cid2": [4, 5, 6],
"cid3": [7, 8, 9],
}
)
How I can filter df by my black_list to result df contains only rows without blacklisted values in the "cid1" column?
I can't filter by some white_list according to the conditions of my task.
The code .filter((pl.col("cid1").is_not(black_list)) not suitable. I tried it but it get me an error TypeError: Expr.is_not() takes 1 positional argument but 2 were givenand I don't catch another way.